Akihiro Inano

20 total papers · 461 total citations
13 papers, 355 citations indexed

About

Akihiro Inano is a scholar working on Oncology, Pharmacology and Epidemiology. According to data from OpenAlex, Akihiro Inano has authored 13 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Pharmacology and 3 papers in Epidemiology. Recurrent topics in Akihiro Inano's work include Drug Transport and Resistance Mechanisms (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Metabolism and Genetic Disorders (3 papers). Akihiro Inano is often cited by papers focused on Drug Transport and Resistance Mechanisms (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Metabolism and Genetic Disorders (3 papers). Akihiro Inano collaborates with scholars based in Japan and United States. Akihiro Inano's co-authors include Ikumi Tamai, Yoshimichi Sai, Akira Tsuji, Hiroko Nikaido, Masahide Asano, Yuichi Sugiyama, Hiroyuki Kusuhara, Jun‐ichi Nezu, Rikiya Ohashi and Akira Tsuji and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and Journal of Pharmaceutical Sciences.

In The Last Decade

Akihiro Inano

13 papers receiving 343 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Akihiro Inano	162	113	79	68	58	13	355
Ryohei Hori	186 1.1×	92 0.8×	38 0.5×	115 1.7×	20 0.3×	22	358
Toshimichi Nakamura	90 0.6×	64 0.6×	41 0.5×	103 1.5×	34 0.6×	14	381
Mikihisa Takano	290 1.8×	164 1.5×	102 1.3×	105 1.5×	18 0.3×	8	385
J. Baird‐Lambert	31 0.2×	95 0.8×	38 0.5×	97 1.4×	18 0.3×	16	363
Ole Jensen	195 1.2×	79 0.7×	35 0.4×	88 1.3×	42 0.7×	22	312
Klaus-Uwe Möritz	108 0.7×	86 0.8×	89 1.1×	93 1.4×	23 0.4×	14	341
Johan Nicolaï	130 0.8×	139 1.2×	12 0.2×	59 0.9×	129 2.2×	22	383
Jin Shimakura	184 1.1×	83 0.7×	17 0.2×	147 2.2×	30 0.5×	11	396
Masako Asoh	92 0.6×	118 1.0×	31 0.4×	60 0.9×	167 2.9×	16	374
Takushi Kanazu	95 0.6×	59 0.5×	24 0.3×	66 1.0×	99 1.7×	26	314

Countries citing papers authored by Akihiro Inano

Since Specialization

Citations

This map shows the geographic impact of Akihiro Inano's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akihiro Inano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Inano more than expected).

Fields of papers citing papers by Akihiro Inano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akihiro Inano. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akihiro Inano. The network helps show where Akihiro Inano may publish in the future.

Co-authorship network of co-authors of Akihiro Inano

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Inano. A scholar is included among the top collaborators of Akihiro Inano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akihiro Inano. Akihiro Inano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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